Multivariate Dependencies

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A01=D.R. Cox
A01=Nanny Wermuth
advanced multivariate analysis applications
Andom Variables
Appl Ica
Author_D.R. Cox
Author_Nanny Wermuth
Category=PBT
Category=PBWH
Chain Graph
Concentrat Ion
Concentrat Ion Graph
Condit Iona
conditional independence analysis
Correlat Ion
Da Ta
empirical data interpretation
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Expl Ic
explanatory
graphical statistical models
ibut
Ibut Ions
Ikel Ihood
impor
Impor Tan
ind
Ind Iv Idua Ls
interpretat
Invo Lv Ing
ion
ions
Ivar Ia Te
Iz Ing
joint response techniques
Marg Ina
observational study methods
Potent Ia
Proport Ions
Quadrat Ic Exponent Ial
Ruc Tura
sect
Sect Ion
social science statistics
Summary Graph
tan
Tandard Errors
Tandardizat Ion
variables

Product details

  • ISBN 9780367401375
  • Weight: 390g
  • Dimensions: 156 x 234mm
  • Publication Date: 17 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences. This book sets out both the general concepts and the more technical statistical issues involved in analysis and interpretation. Numerous illustrative examples are described in outline and four studies are discussed in some detail. The use of graphical representations of dependencies and independencies among the features under study is stressed, both to incorporate available knowledge at the planning stage of an analysis and to summarize aspects important for interpretation after detailed statistical analysis is complete. This book is aimed at research workers using statistical methods as well as statisticians involved in empirical research.
Cox, D.R.; Wermuth, Nanny

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